Almost half of the time saved using AI is spent correcting outputs

Core Insights - The return on investment (ROI) of AI in finance and HR is still uncertain, despite significant investments in the technology [1] Group 1: AI Productivity and Challenges - A report by Workday indicates that while 85% of surveyed workers save between 1 and 7 hours a week using AI tools, 37% of that time is lost to rework, defined as correcting low-quality AI-generated content [3][5] - Workday's findings suggest that for every 10 hours of efficiency gained through AI, nearly 4 hours are lost to fixing its output, termed the "AI tax on productivity" [3][5] - The report highlights that instead of reallocating time to higher-level tasks, employees are spending it on correcting AI outputs, leading to millions of lost hours annually in large organizations [5] Group 2: User Experience and Recommendations - Frequent users of AI tools report feeling the most strain, with 77% of daily users reviewing AI-generated work as carefully as human work [5] - Workday recommends that business leaders rethink how AI productivity is measured by considering both time saved and time lost to rework, advocating for a shift in focus from merely accelerating AI usage to improving the measurement and design of AI-supported work [6]